Website Optimization

Website Optimization consists of a broad set of tools, methods, processes and strategies that have the objective to improve the website conversion rates. In the resources provided below you will find guidance when it comes to Behavioral Targeting, Split Testing, website usability and other important techniques to improve online experiences.

This article, written by Google's Analytics Advocate Krista Seiden shows how to successfully build an optimization and testing culture by outlining an ongoing process for data usage, analysis and communication.

This article walks you through GA Effect, a web application that helps you identify whether events happening on your Google Analytics data are statistically significant or just pure chance; in other words, it separates signal from noise. In this article you will learn how to use GA Effect and interpret the results.

Cart abandonment is often not a final decision. When viewed as part of the buying cycle, like buyers who research competitors, the abandonment issue becomes manageable. Our goal, then, is twofold: lower the initial abandonment rate and raise the reclamation rate on abandoned carts.

In this post Kristoffer Olofsson provides a guide to the new Enhanced Ecommerce methods for product impressions and detailed views, which will give us actionable insights that we can work with to continuously improve the presentation of products and the performance of our ecommerce business.

When you start your Conversion Rate Optimization (CRO) journey you most probably do it chaotically. Unfortunately, the absence of regular processes results in poor results and in longer optimization cycles. In this article you will learn an effective methodology that will lead you to more successes and allow you to do more with less.

Google Analytics Benchmarking is extremely valuable tool in that it provides the necessary context to show you if your increase (or decrease) is not only a result of your actions, but of a larger trend in the industry.

By my unofficial count, there are approximately a million ways to segment your users within Google Analytics. One of my favorite segments for predicting future success is looking at the demographics reports, because they allow us to look at the age range and gender of our customers to a great level of accuracy. Learn how to make the most out of it.

Content experiments for mobile apps can be extremely valuable to a business. We are no longer dependent on long development cycles as soon as we want to test something new. And when we do want to test, we can do so faster, more accurately, and with more certainty to avoid costly mistakes based on hunches. Learn how!

Are you struggling with Google Analytics segments every now and then? Would you like to learn how to use/build them instead of just being overwhelmed with a "best segments" posts? If your answer to these questions is yes, I recommend you read this article very carefully!